Electric Power Stock Forecast - Naive Prediction
| 4529 Stock | TWD 3.40 0.07 2.10% |
The Naive Prediction forecasted value of Electric Power Technology on the next trading day is expected to be 3.32 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.50. Electric Stock Forecast is based on your current time horizon.
As of today the value of rsi of Electric Power's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Electric Power hype-based prediction, you can estimate the value of Electric Power Technology from the perspective of Electric Power response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Electric Power Technology on the next trading day is expected to be 3.32 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.50. Electric Power after-hype prediction price | TWD 3.4 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Electric |
Electric Power Additional Predictive Modules
Most predictive techniques to examine Electric price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Electric using various technical indicators. When you analyze Electric charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Electric Power Naive Prediction Price Forecast For the 19th of January
Given 90 days horizon, the Naive Prediction forecasted value of Electric Power Technology on the next trading day is expected to be 3.32 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.50.Please note that although there have been many attempts to predict Electric Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Electric Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Electric Power Stock Forecast Pattern
Electric Power Forecasted Value
In the context of forecasting Electric Power's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Electric Power's downside and upside margins for the forecasting period are 1.11 and 5.53, respectively. We have considered Electric Power's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Electric Power stock data series using in forecasting. Note that when a statistical model is used to represent Electric Power stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 112.9271 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0573 |
| MAPE | Mean absolute percentage error | 0.0153 |
| SAE | Sum of the absolute errors | 3.4952 |
Predictive Modules for Electric Power
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electric Power Technology. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Electric Power
For every potential investor in Electric, whether a beginner or expert, Electric Power's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Electric Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Electric. Basic forecasting techniques help filter out the noise by identifying Electric Power's price trends.Electric Power Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Electric Power stock to make a market-neutral strategy. Peer analysis of Electric Power could also be used in its relative valuation, which is a method of valuing Electric Power by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Electric Power Technology Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Electric Power's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Electric Power's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Electric Power Market Strength Events
Market strength indicators help investors to evaluate how Electric Power stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Electric Power shares will generate the highest return on investment. By undertsting and applying Electric Power stock market strength indicators, traders can identify Electric Power Technology entry and exit signals to maximize returns.
Electric Power Risk Indicators
The analysis of Electric Power's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Electric Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting electric stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.45 | |||
| Standard Deviation | 2.22 | |||
| Variance | 4.95 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with Electric Power
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Electric Power position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Electric Power will appreciate offsetting losses from the drop in the long position's value.Moving against Electric Stock
| 0.65 | 1584 | S Tech Corp | PairCorr |
| 0.64 | 0053 | YuantaP shares Taiwan | PairCorr |
| 0.63 | 2330 | Taiwan Semiconductor | PairCorr |
| 0.62 | 2412 | Chunghwa Telecom | PairCorr |
| 0.61 | 2308 | Delta Electronics | PairCorr |
The ability to find closely correlated positions to Electric Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Electric Power when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Electric Power - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Electric Power Technology to buy it.
The correlation of Electric Power is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Electric Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Electric Power Technology moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Electric Power can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Electric Stock Analysis
When running Electric Power's price analysis, check to measure Electric Power's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Electric Power is operating at the current time. Most of Electric Power's value examination focuses on studying past and present price action to predict the probability of Electric Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Electric Power's price. Additionally, you may evaluate how the addition of Electric Power to your portfolios can decrease your overall portfolio volatility.